Evidence map›Paper›PMID 41017066›Full record

ArticleClinical and translational medicine2025

Distant metastases of melanoma exhibit varying extent of intrapatient proteogenomic heterogeneity.

Beata Szeitz, Yanick Paco Hagemeijer, Zoltan Gabor Pahi, Zsuzsanna Ujfaludi, Magdalena Kuras, Jimmy Rodriguez, Viktoria Doma, Reka Mohacsi, Magdolna Herold, Zoltan Herold and 25 more

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Article in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

35 authors.

Beata SzeitzDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-6414-0537
Yanick Paco HagemeijerAnalytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Zoltan Gabor PahiDepartment of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Zsuzsanna UjfaludiDepartment of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
Magdalena KurasDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.ORCID 0000-0002-9479-423X
Jimmy RodriguezDepartment of Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.
Viktoria DomaDepartment of Dermatology, Venerology and Dermatooncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Reka MohacsiDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Magdolna HeroldDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Zoltan HeroldDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Zsolt HorvathDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Indira PlaDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Yutaka SugiharaDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.ORCID 0000-0002-4406-3017
Bo BaldetorpSection of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Henrik LindbergDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Henriett OskolasDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.
Melinda RezeliDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.ORCID 0000-0003-4373-5616
Jeovanis GilDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.ORCID 0000-0003-3601-3893
Roger AppelqvistDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Lajos V KemenyDepartment of Dermatology, Venerology and Dermatooncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Jessica GuedesDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Johan MalmDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.
Aniel SanchezDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.
Imre Miklos BorosDepartment of Biochemistry and Molecular Biology, University of Szeged, Szeged, Hungary.
Istvan Balazs NemethDepartment of Dermatology and Allergology, University of Szeged, Szeged, Hungary.
Victor GuryevEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
Tibor PankotaiDepartment of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.ORCID 0000-0001-9810-5465
Krzysztof PawłowskiDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Elisabet WieslanderDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.
Attila Marcell SzaszDivision of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.
David FenyöInstitute for Systems Genetics, NYU Grossman School of Medicine, New York, New York, USA.
Peter HorvatovichAnalytical Biochemistry, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
Jozsef TimarDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
György Marko-VargaDivision of Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Lazaro Hiram BetancourtDepartment of Translational Medicine, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.ORCID 0000-0001-8207-7041

Funding

Berta Kamprad Foundation FBKS-2020-22-291Berta Kamprad Foundation FBKS-2023-22-99Berta Kamprad Foundation FBKS-2024-19-604Dutch Research Council ALWOP.662EU's Horizon 2020 Research and Innovation Program 739593Hungarian Academy of Sciences OTKA-125509Hungarian Academy of Sciences POST-COVID2021-36Hungarian National Research, Development and Innovation Office 150998Hungarian National Research, Development and Innovation Office NFFIH-TKI21-EGA25Hungarian National Research, Development and Innovation Office OTKAFK138696Ministry of Culture and Innovation of Hungary 2022-2.1.1-NLMinistry of Culture and Innovation of Hungary TKP2021-EGAMinistry of Culture and Innovation of Hungary ÚNKP-22-3-IINational Cancer Institute (NCI) CPTAC U24CA210972Netherlands X-omics Initiative 184.034.019Semmelweis University EFOP-3.6.3-VEKOP-16-2017-00009Semmelweis University STIA-KFI2021USZ Bilateral Grant 2023
6 · The paper itself

Abstract

backgroundMetastatic melanoma is a highly aggressive disease with poor survival rates despite recent therapeutic advancements with immunotherapy. The proteomic landscape of advanced melanoma remains poorly understood, especially regarding proteomic heterogeneity across metastases within patients.

methodsWe collected 83 melanoma metastases from 19 different metastatic sites in 24 patients with advanced metastatic melanoma almost exclusively from the pre-immunotherapy era, using semi-rapid autopsies. The metastases were subjected to histopathological evaluation, RNA-sequencing and mass spectrometry-based proteomics for protein quantitation and non-reference peptide (NRP) sequence detection using a proteogenomic data integration approach.

resultsNRPs associated with mutations frequently occurred in proteins related to focal adhesion, vesicle-mediated transport, MAPK signalling and immune response pathways across the cohort. Intrapatient heterogeneity was negligible when considering morphology and driver gene mutation status but was substantial at the proteogenomic level. This heterogeneity was not driven by metastasis location, albeit liver metastases exhibited distinct proteogenomic patterns, including upregulation of metabolic pathways. Cluster analysis outlined four proteomic clusters (C1-4) of the metastases, characterised by the upregulation of cell cycle and RNA-splicing (C1), mitochondrial processes (C3), extracellular matrix (ECM) and immune pathways (C2) and ECM and vesicle-mediated transport pathways (C4). Around two-thirds of patients had metastases that had strongly distinct phenotypes. Patients in our cohort whose metastases were primarily assigned to clusters C1 and C3 exhibited shorter overall survival than patients whose metastases were categorised mainly into the C2 and C4 clusters.

conclusionOur unique multi-metastasis cohort captured the proteogenomic heterogeneity of immunotherapy-naïve melanoma distant metastases, establishing a foundation for future studies aimed at identifying novel therapeutic targets to complement current immunotherapies. KEY POINTS: Comprehensive proteogenomic profiling of post-mortem melanoma metastases, collected primarily before the immunotherapy era. Description of 1177 protein sequence variants predicted by RNA-Seq and validated via mass spectrometry-based proteomics. Empirical evidence of prominent intrapatient heterogeneity, driven by heterogeneous protein expression related to cell cycle- and mitochondrial processes, immune system and extracellular matrix organization.

Indexed as

MelanomaNeoplasm MetastasisProteogenomicsAdultAgedAged, 80 and overFemaleHumansMaleMiddle Ageddistant metastasishistopathologymass spectrometry‐based proteomicsmelanomapost mortemproteogenomicsRNA‐sequencing

Identifiers

PMID41017066
PMCPMC12477065

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